In contrast to the single-frame methods, some methods [1]}, [2]}, [3]} operate on multiple point clouds or an aggregated point cloud submap to achieve better segmentation results and at the same time separate moving and non-moving objects.
However, these methods perform operations directly on point clouds, which are often laborious and difficult to train.
Furthermore, most of them are both time-consuming and resource-intensive, which might not be applicable for autonomous driving.
